Comparison of methods to model the gravitational gradients from topographic data bases

A number of methods have been developed over the last few decades to model the gravitational gradients using digital elevation data. All methods are based on second-order derivatives of the Newtonian mass integral for the gravitational potential. Foremost are algorithms that divide the topographic masses into prisms or more general polyhedra and sum the corresponding gradient contributions. Other methods are designed for computational speed and make use of the fast Fourier transform (FFT), require a regular rectangular grid of data, and yield gradients on the entire grid, but only at constant altitude. We add to these the ordinary numerical integration (in horizontal coordinates) of the gradient integrals. In total we compare two prism, two FFT and two ordinary numerical integration methods using 1" elevation data in two topographic regimes (rough and moderate terrain). Prism methods depend on the type of finite elements that are generated with the elevation data; in particular, alternative triangulations can yield significant differences in the gradients (up to tens of Eötvös). The FFT methods depend on a series development of the topographic heights, requiring terms up to 14th order in rough terrain; and, one popular method has significant bias errors (e.g. 13 Eötvös in the vertical–vertical gradient) embedded in its practical realization. The straightforward numerical integrations, whether on a rectangular or triangulated grid, yield sub-Eötvös differences in the gradients when compared to the other methods (except near the edges of the integration area) and they are as efficient computationally as the finite element methods.     

用旅游图制作导航电子地图中的地图纠正

介绍了一种用三次插值样条对公开出版的旅游图进行纠正,制作汽车导航电子地图的方法,分析了其中存在的问题,提出了解决的办法。     

惯性／双星组合导航系统的滤波与仿真

介绍了惯性导航系统和双星导航系统各自的运行方式和优缺点；详细推导了组合导航系统的误差方程和量测方程；介绍了Kalman滤波的整个过程并最后进行了仿真计算。仿真结果显示，惯性导航系统和双星导航系统的组合弥补了各自的不足，具有较好的精度和可靠性。     

CVE中多种视点视图导航效果研究

协同虚拟环境是网络技术与虚拟现实技术相结合的产物,将单用户虚拟环境扩展为多用户的网络化虚拟环境,实现群组协同工作.目前,协同虚拟环境系统已经在科学可视化、协同设计、战争模拟等很多领域得到了广泛应用.在单用户虚拟环境中导航与多用户的协同虚拟环境中导航是完全不同的,文中论述了协同虚拟环境导航的特点以及导航与视点的关系,探讨了常用的协同虚拟环境三种视点视图界面的导航及其效果,并进行了相关实验测试.     

双星/罗兰C组合导航方式研究

为了降低卫星导航的使用风险，美国和一些导航大国都积极加强其陆基无线电导航系统特别是罗兰C系统的进一步研究。这说明在开发应用卫星导航系统的同时，还必须继续发展陆基无线电导航系统。因此，我国在大力发展双星导航系统的同时，还应继续加强罗兰C系统的研究，积极开发双星／罗兰C组合导航的潜力。对双星／罗兰C组合导航技术的数据组合方法进行介绍，比较了不同组合方式的导航精度及工作性能。     

内蒙古中部重、磁场特征与地壳密度结构

中亚造山带中的古生代——中生代花岗岩普遍具有正εNd值，在世界上是十分独特的。美国西部加利福尼亚中生代-新生代花岗岩同样具有正εNd值，并且其地壳的速度分布特征与内蒙古中部十分相似。本文通过与美国加利福尼亚的地球物理研究成果进行对比，来研究内蒙古中部的地壳密度结构，特别是下地壳的组成，试图探讨产生正￡。值花岗岩的深部地质原因。研究结果表明，在大兴安岭-内蒙古造山带下地壳中可能存在与美国加里福尼亚类似的洋壳物质。此外，还对重、磁异常进行了处理，以确定蛇绿岩带的延展情况。由于在西拉木伦河附近存在切割至莫霍面的深断裂，结合地表出现的蛇绿岩带，故提出温都尔庙-西拉木伦河一线可能是内蒙古中部最重要的地质构造界线。     

基于Kiwi数据格式的地图显示研究

在分析Kiwi显示数据存储组织方法的基础上,研究了Kiwi显示数据在内存中的动态组织,改进了地图显示的二级缓存方法,提出了地图显示的双缓冲池策略。试验结果表明,本文研究的数据动态组织方法和地图显示策略提高了地图显示速度。     

GPS新近发展及其军事应用

本文简述了GPS的最新发展动态，着重分析了GPS在精确制导武器上的应用形式和效果，指出了GPS制导技术存在的局限性及其未来发展趋势。     

Outlier detection algorithms and their performance in GOCE gravity field processing

The satellite missions CHAMP, GRACE, and GOCE mark the beginning of a new era in gravity field determination and modeling. They provide unique models of the global stationary gravity field and its variation in time. Due to inevitable measurement errors, sophisticated pre-processing steps have to be applied before further use of the satellite measurements. In the framework of the GOCE mission, this includes outlier detection, absolute calibration and validation of the SGG (satellite gravity gradiometry) measurements, and removal of temporal effects. In general, outliers are defined as observations that appear to be inconsistent with the remainder of the data set. One goal is to evaluate the effect of additive, innovative and bulk outliers on the estimates of the spherical harmonic coefficients. It can be shown that even a small number of undetected outliers (<0.2 of all data points) can have an adverse effect on the coefficient estimates. Consequently, concepts for the identification and removal of outliers have to be developed. Novel outlier detection algorithms are derived and statistical methods are presented that may be used for this purpose. The methods aim at high outlier identification rates as well as small failure rates. A combined algorithm, based on wavelets and a statistical method, shows best performance with an identification rate of about 99%. To further reduce the influence of undetected outliers, an outlier detection algorithm is implemented inside the gravity field solver (the Quick-Look Gravity Field Analysis tool was used). This results in spherical harmonic coefficient estimates that are of similar quality to those obtained without outliers in the input data.